120 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at Zintellect in United States
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fruit production systems. Hands-on experience will be daily part of your experience. Learning Objectives: Under the guidance of a mentor, you will learn: Chemical ecology of invasive insect pests like
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, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11
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to identify complete gene structures and associated coding sequences. Gene Ontology and KEGG database annotations will be performed for protein annotation. Learning Objectives: Under the guidance of a mentor
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to identify molecular and physiological markers that can improve early detection of phytoplasmas, ultimately helping to reduce phytoplasma-related diseases. Learning Objectives: Under the guidance of a mentor
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. Academic Level(s): Doctoral Degree (Postdoctoral Fellow). Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17
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to assess cane yield and quality traits. Learning Objectives: The participant will gain hands-on laboratory experience and learn laboratory techniques (e.g., filtration, pipetting, preparation of solutions
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of iron in staple food crops and food products. You will also be part of the mentor’s team conducting research on the nutritional quality of iron in staple food crops and food products. Learning Objectives
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, recording data, collecting samples, and processing and conducting various molecular analyses on the collected samples. This will be in both the laboratory and field using modern molecular techniques. Learning
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of a multidisciplinary team. They will research both independently and collaboratively, prepare peer-reviewed publications, and create conference presentations. Learning Objectives: This opportunity
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in learning how the scientific process is used to solve agricultural problems caused by insect pests. Our respective research programs are focused on using cutting-edge techniques to better understand